Skip to main content

Cloud School - Course Contents

Module 1

Fundamental Cloud Computing: Concepts, terminology, technologies, benefits, challenges, SLAs and business cost metrics associated with cloud computing are covered, along with SaaS, IaaS, PaaS delivery models, common cloud deployment models, and cloud characteristics.

Module 2: Cloud Technology Concepts
Cloud Technology Concepts: This course covers a range of topics related to cloud computing mechanisms, cloud security threats and controls, and essential cloud technologies. Also addressed are testing, cloud storage, industry standards, and emerging technologies and trends.

Module 3: Cloud Technology Lab
Cloud Technology Lab: A hands-on lab during which participants apply practices, mechanisms, and technologies to design cloud-based service architectures in order to solve a set of complex problems.

Module 4: Fundamental Cloud Architecture

Fundamental Cloud Architecture: This course delves into the technology architecture of cloud platforms and cloud-based solutions and services by exploring a series of new cloud computing mechanisms and their utilization via a set of cloud computing design patterns.

Module 5: Advanced Cloud Architecture

Advanced Cloud Architecture: Advanced technology architecture topics are addressed in this course with a focus on complex cloud-based solution design, including the incorporation of hybrid cloud deployment models, compound design patterns, and solution architectures that span cloud and on-premise environments.

Module 6: Cloud Architecture Lab

Cloud Architecture Lab: A hands-on lab during which participants apply the patterns, models, concepts, techniques, and mechanisms covered in previous courses, in order to complete a series of architectural and design exercises.

Module 7: Fundamental Cloud Security

Fundamental Cloud Security: This course dives into the implementation technologies behind the cloud security mechanisms first introduced in Module 2, and further explores how these mechanisms and associated security technologies can be configured and combined to establish a cloud security architecture.

Module 8: Advanced Cloud Security

 Advanced Cloud Security: Complex security topics are addressed by this course, which introduces a set of security design patterns that address the application of cloud security mechanisms and technologies in order to establish sophisticated, custom security controls for preventative and reactionary responses to common threats and attacks.

Module 9: Cloud Security Lab

Cloud Security Lab: A hands-on lab during which participants apply the patterns, concepts, techniques, and mechanisms covered in previous courses, in order to complete a series of exercises that present real-world security problems.

Module 10: Fundamental Cloud Governance

Fundamental Cloud Governance: This course covers the essential building blocks required to establish a governance system for cloud environments. Topics include the definition of cloud governance precepts, roles, practices, and processes, along with coverage of common governance challenges and pitfalls specific to cloud computing.

Module 11: Advanced Cloud Governance

Advanced Cloud Governance: Advanced cloud governance topics are addressed by this course, which focuses on establishing complex regulatory controls and precepts for a range of cloud-based IT resources and solutions, and further delves into technologies suitable for automating internal and remote cloud governance tasks.

Module 12: Cloud Governance Lab

Cloud Governance Lab: A hands-on lab during which participants apply the patterns, models, concepts, techniques, and mechanisms covered in previous courses, in order to complete a series of architectural and design exercises.

Module 13: Fundamental Cloud Storage

Fundamental Cloud Storage: This course expands upon the cloud storage topics introduced in Module 2 by further exploring cloud storage devices, structures, and technologies from a more technical and implementation-specific perspective. A set of cloud storage mechanisms and devices are established, along with in-depth coverage of NoSQL and cloud storage services.

Module 14: Advanced Cloud Storage

 Advanced Cloud Storage: A number of advanced topics are introduced in this course, including persistent storage, redundant storage, cloud-attached storage, cloud-remote storage, cloud storage gateways, cloud storage brokers, Direct Attached Storage (DAS), Network Attached Storage (NAS), Storage Area Network (SAN), various cloud storage-related design patterns, and the overall information lifecycle management as it applies specifically to cloud-hosted data.

Cloud school course contents
Module 15: Cloud Storage Lab

Cloud Storage Lab : A hands-on lab during which participants apply the patterns, concepts, practices, devices, and mechanisms covered in previous courses, in order to complete a series of exercises that pertain to solving cloud storage problems and creating cloud storage architectures.

Module 16: Fundamental Cloud Virtualization

Fundamental Cloud Virtualization: Core topic areas pertaining to the fundamental virtualization mechanisms and types used within contemporary cloud computing platforms are explored, along with various key performance indicators and related metrics.

Module 17: Advanced Cloud Virtualization

Advanced Cloud Virtualization: A range of specialized and advanced design patterns that build upon Module 16 to explore virtualization-related reliability, performance and integration, as well as combinations of mechanisms are covered, whereby the problem scenario, application, and solution are presented for each individual design pattern.

Module 18: Cloud Virtualization Lab

Cloud Virtualization Lab: A hands-on lab during which participants apply the models, concepts, and techniques covered in previous courses, in order to complete a series of complex exercises that enable participants to demonstrate proficiency in applying design patterns to solve common problems in cloud-based environments.

Module 19: Fundamental Cloud Capacity

Module 20: Advanced Cloud Capacity

Module 21: Cloud Capacity Lab

Read more


Popular posts

Blue Prism complete tutorials download now

RPA blue prsim tutorial popular resources I have given in this post. You can download quickly.Learning Blue Prism is really good option if you are learner of Robotic process automation. The RPA is also called "Robotic Process Automation"- Real advantages are you can automate any business process and you can complete the customer requests in less time.

The Books Available on Blue Prism 
Blue Prism resourcesDavid chappal PDF bookBlue Prism BlogsVideo Training
RPA training The other Skills you need
Basic business skills and Domain skills are more than enough to be successful in this automation careerScripting languages like Perl/JSON/JavaScript/VBScript.  The interesting point is learning any RPA tool is not a problem. You can learn tool quickly. The real point is how quickly you apply your knowledge to implement automated tasks is important.

Also read
Robotic RPA Software developer skills you needBlue Prism tutorials download to learn quicklyPopular RPA tools functionality differen…

Three popular RPA tools functional differences

Robotic process automation is growing area and many IT developers across the board started up-skill in this popular area. I have written this post for the benefit of Software developers who are interested in RPA also called Robotic Process Automation.

In my previous post, I have described that total 12 tools are available in the market. Out of those 3 tools are most popular. Those are Automation anywhere, BluePrism and Uipath. Many programmers asked what are the differences between these tools. I have given differences of all these three RPA tools.

BluePrismBlue Prism has taken a simple concept, replicating user activity on the desktop, and made it enterprise strength. The technology is scalable, secure, resilient, and flexible and is supported by a comprehensive methodology, operational framework and provided as packaged software.The technology is developed and deployed within a “corridor of IT governance” and has sophisticated error handling and process modelling capabilities to ensu…

Robotic RPA Software developer skills you need

Robotic process automation is an upcoming and becoming most popular skill. As I said there are three popular tools. To become proficient in any one of the tool is really good to get a job in Developer role.
To get a job in this line, I found in my research that some programming skills and Hand-on training on any one of the tools is required. Also, try to to know differences in other popular rpa tools.

Most people are asking experience in tools like Automation anywhare, Blue Prism and Uipath. But, you cannot be proficient in all. So just know what are the differences. Ok...
You may ask a question like how to know. First join one good coaching institute and learn one tool perfectly. And start taking online training. Really good for you. Whatever you are lacking quickly you can learn online way.

To learn Uipath try here. Also, you can learn Automation anywhere tool online way.

The following are the list of IT skills commonly asking:
Automation anywhere/Blue Prism/Uipath.Net/C#/Java/SQL ski…